Keyword search (4,164 papers available)

"force" Keyword-tagged Publications:

Title Authors PubMed ID
1 Structural Behavior and Fatigue of FRP-Reinforced Concrete Beams Exposed to Different Weathering Conditions Rahmatian A; Saleem H; Hejazi F; Nokken M; Bagchi A; 41828174
ENCS
2 Robust and Compact Electrostatic Comb Drive Arrays for High-Performance Monolithic Silicon Photonics Fasihanifard M; Packirisamy M; 41156349
ENCS
3 Disentangling prediction error and value in a formal test of dopamine s role in reinforcement learning Usypchuk AA; Maes EJP; Lozzi M; Avramidis DK; Schoenbaum G; Esber GR; Gardner MPH; Iordanova MD; 40738112
CSBN
4 Comprehensive review of reinforcement learning for medical ultrasound imaging Elmekki H; Islam S; Alagha A; Sami H; Spilkin A; Zakeri E; Zanuttini AM; Bentahar J; Kadem L; Xie WF; Pibarot P; Mizouni R; Otrok H; Singh S; Mourad A; 40567264
ENCS
5 Activating Group II Metabotropic Glutamate Receptors in the Basolateral Amygdala Inhibits Increases in Reward Seeking Triggered by Discriminative Stimuli in Rats LeCocq MR; Mainville-Berthiaume A; Laplante I; Samaha AN; 40341317
CSBN
6 Machine learning innovations in CPR: a comprehensive survey on enhanced resuscitation techniques Islam S; Rjoub G; Elmekki H; Bentahar J; Pedrycz W; Cohen R; 40336660
ENCS
7 Computational neuroscience across the lifespan: Promises and pitfalls van den Bos W; Bruckner R; Nassar MR; Mata R; Eppinger B; 29066078
PSYCHOLOGY
8 Relapse after intermittent access to cocaine: Discriminative cues more effectively trigger drug seeking than do conditioned cues Ndiaye NA; Shamleh SA; Casale D; Castaneda-Ouellet S; Laplante I; Robinson MJF; Samaha AN; 38767684
PSYCHOLOGY
9 Impaired performance of rapid grip in people with Parkinson's disease and motor segmentation Rebecca J Daniels 38507858
PSYCHOLOGY
10 Post-reinforcement pauses during slot machine gambling are moderated by immersion W Spencer Murch 38429228
PSYCHOLOGY
11 Does phasic dopamine release cause policy updates? Carter F; Cossette MP; Trujillo-Pisanty I; Pallikaras V; Breton YA; Conover K; Caplan J; Solis P; Voisard J; Yaksich A; Shizgal P; 38039083
PSYCHOLOGY
12 Nonlinear dynamic modeling and model-based AI-driven control of a magnetoactive soft continuum robot in a fluidic environment Moezi SA; Sedaghati R; Rakheja S; 37932207
ENCS
13 Sub-hourly measurement datasets from 6 real buildings: Energy use and indoor climate Sartori I; Walnum HT; Skeie KS; Georges L; Knudsen MD; Bacher P; Candanedo J; Sigounis AM; Prakash AK; Pritoni M; Granderson J; Yang S; Wan MP; 37153123
ENCS
14 Deep learning approach to security enforcement in cloud workflow orchestration El-Kassabi HT; Serhani MA; Masud MM; Shuaib K; Khalil K; 36691661
ENCS
15 Reinforcement learning for automatic quadrilateral mesh generation: A soft actor-critic approach Pan J; Huang J; Cheng G; Zeng Y; 36375347
ENCS
16 Trust-Augmented Deep Reinforcement Learning for Federated Learning Client Selection Rjoub G; Wahab OA; Bentahar J; Cohen R; Bataineh AS; 35875592
ENCS
17 Gold Nano-Bio-Interaction to Modulate Mechanobiological Responses for Cancer Therapy Applications Sohrabi Kashani A; Larocque K; Piekny A; Packirisamy M; 35839330
BIOLOGY
18 Measures of motor segmentation from rapid isometric force pulses are reliable and differentiate Parkinson's disease from age-related slowing Howard SL; Grenet D; Bellumori M; Knight CA; 35768733
PSYCHOLOGY
19 Neural evidence for age-related deficits in the representation of state spaces Ruel A; Bolenz F; Li SC; Fischer A; Eppinger B; 35510942
PERFORM
20 Optical Fiber Array Sensor for Force Estimation and Localization in TAVI Procedure: Design, Modeling, Analysis and Validation Bandari N; Dargahi J; Packirisamy M; 34450813
ENCS
21 Corrigendum: Deep Learning-Based Haptic Guidance for Surgical Skills Transfer Fekri P; Dargahi J; Zadeh M; 34026860
ENCS
22 Deep Learning-Based Haptic Guidance for Surgical Skills Transfer. Fekri P, Dargahi J, Zadeh M 33553246
ENCS
23 Designing a hybrid reinforcement learning based algorithm with application in prediction of the COVID-19 pandemic in Quebec. Khalilpourazari S, Hashemi Doulabi H 33424076
ENCS
24 Cue-Evoked Dopamine Neuron Activity Helps Maintain but Does Not Encode Expected Value. Mendoza JA, Lafferty CK, Yang AK, Britt JP 31693885
CSBN
25 Drude polarizable force field for cation-π interactions of alkali and quaternary ammonium ions with aromatic amino acid side chains Orabi EA; Davis RL; Lamoureux G; 31652004
CERMM
26 Metacontrol of decision-making strategies in human aging. Bolenz F, Kool W, Reiter AM, Eppinger B 31397670
PERFORM
27 Effects of contingent and noncontingent nicotine on lever pressing for liquids and consumption in water-deprived rats. Frenk H, Martin J, Vitouchanskaia C, Dar R, Shalev U 27889434
CSBN
28 Odorous gaseous emissions as influence by process condition for the forced aeration composting of pig slaughterhouse sludge. Blazy V, de Guardia A, Benoist JC, Daumoin M, Lemasle M, Wolbert D, Barrington S 24768513
MASSSPEC
29 Developmental Changes in Learning: Computational Mechanisms and Social Influences. Bolenz F, Reiter AMF, Eppinger B 29250006
PERFORM

 

Title:Sub-hourly measurement datasets from 6 real buildings: Energy use and indoor climate
Authors:Sartori IWalnum HTSkeie KSGeorges LKnudsen MDBacher PCandanedo JSigounis AMPrakash AKPritoni MGranderson JYang SWan MP
Link:https://pubmed.ncbi.nlm.nih.gov/37153123/
DOI:10.1016/j.dib.2023.109149
Publication:Data in brief
Keywords:CSV filesDeep Reinforcement Learning (DRL)HeatingHigh resolutionModel Predictive Control (MPC)Model identificationPseudo-Random Binary Sequence (PRBS)Ventilation and Air Conditioning (HVAC)
PMID:37153123 Category: Date Added:2023-05-08
Dept Affiliation: ENCS

Description:

The data presented here were collected independently for 6 real buildings by researchers of different institutions and gathered in the context of the IEA EBC Annex 81 Data-driven Smart Buildings, as a joint effort to compile a diverse range of datasets suitable for advanced control applications of indoor climate and energy use in buildings. The data were acquired by energy meters, both consumption and PV generation, and sensors of technical installation and indoor climate variables, such as temperature, flow rate, relative humidity, CO2 level, illuminance. Weather variables were either acquired by local sensors or obtained from a close by meteorological station. The data were collected either during normal operation of the building, with observation periods between 2 weeks and 2 months, or during experiments designed to excite the thermal mass of the building, with observation periods of approximately one week. The data have a time resolution varying between 1 min and 15 min; in some case the highest resolution data are also averaged at larger intervals, up to 30 min.





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